Stochastic MPC for Optimal Energy Management Strategy of Hybrid Vehicle performing ACC with Stop&Go maneuvers

A DRL-based Ecological Driving Strategy for Series Hybrid Energy Vehicle Including Battery Degradation

“…3.When the agent considers the reward function of battery( = 1), the torque of the motor changes more smoothly, while when = 0, the torque of the motor changes drastically,which means that the target vehicle frequently request high C-rate of battery to achieve best fuel economy.When = 1, the effective Ah-throughput decreases by 15.7%;however, the fuel consumption increases only by 3.6%, as shown in Table2. In addition, when = 1, the SoC value is below the case of = 0 most of time.This can be explained by the aging model (7)…”

“…Adaptive cruise control technology enables the vehicle to keep stable speed ,acceleration and deceleration performance under complex traffic conditions , therefore using cruise control when possible is commonly recommended for eco-driving [6]. Dahmane et al studied using stochastic model predictive control (SMPC) to solve the global optimization problem of the combination of ACC with Stop&Go and energy management strategies [7], and innovatively regarded the required power of the vehicle as a random Markov process. Based on Markov property of the power required by hybrid electric vehicles, Hu et al firstly applied deep reinforcement learning to the energy management strategy of HEVs [8].…”

A Review of Model Predictive Controls Applied to Advanced Driver-Assistance Systems

“…The most common statistical methods used in the ADAS field are the autoregressive models [43,44], both linear and nonlinear ones: Markov Chain and Hidden Markov Chain. They are effectively used for the prediction of the demanded torque/power [45,46], predecessor vehicle position [47], human driving errors [48], and lane changing maneuvers [49][50][51][52][53]. The autoregressive model is a stochastic technique that describes random processes in which the state is linearly linked with past observations.…”

Efficient energy management strategy for hybrid electric vehicles/plug‐in hybrid electric vehicles: review and recent advances under intelligent transportation system

“…An appropriate speed profile is eventually acquired to guide the movement of HEV. Based on this, literature [129] adds stop and go mechanism to control the rear vehicle of V2V system. It gives a more suitable interval in the vehicle group, to implement the energy‐saving EMS for PHEV.…”